The next great step for the energy industry is incorporating artificial intelligence and machine learning (AI/ML)
ML can create game-changing applications across the energy landscape such as forecasting energy consumption whether it's natural gas futures or estimating power consumption in a specific grid. Knowing the future demand of a resource provides key actionable information that can be used to lower costs and gain efficiencies.
Within the energy spectrum, renewables show some of the strongest ML use cases. Solar and wind, are in their very nature, variable. With uncontrollable factors such as solar intensity and wind speed, energy foresights become highly desirable. Machine Learning models can make use of unthinkable quantities of data to provide continuous, reliable predictions about future renewable power inconsistencies.
Machine Learning Use Cases
Utility companies have the potential to collect and analyze millions of data points that contain valuable information. Progressive companies have installed Internet of Things (IoT) devices into their products to gather product usage metrics - e.g., a sensor that tracks daily wattage consumption). Once the data is consolidated, it is fed into an ML program where hidden patterns are revealed and insights are unlocked.
Some of the most popular use cases for machine learning applications in the energy industry are listed below:
Solution and Tools
- Jupyter-Notebook - simple and powerful tool for computing data analysis problems. The majority of data scientists use Jupyter-Notebook
- Anaconda - powerful all-in-one data science package that includes: Python / R distribution, Jupyter-Notebook, package manager, environment manager. For more information, read our article about the Anaconda Python Distribution.
- MLflow- machine learning operations framework for having a DevOps orientated philosophy in your predicting applications
Begin to understand your data
Oak-Tree employs a team of experts and specialists that lead organizations to a world where they can understand their data and make decisive decisions. When it comes to the energy industry, Oak-Tree has designed and built powerful, robust systems that get utility companies to their desires of AI. Oak-Tree's expertise in the data landscape can ensure you have the data platform you need.
As a tight, close-knit team, Oak-Tree produces powerful systems to help companies understand and learn from their data.